Fuzzy AHP – DEMATEL Methods To Investigate Passengers’ Decision Factors On Using Public City Bus In An Indonesian Region

Authors

  • V. Reza Bayu Kurniawan Department of Industrial Engineering Universitas Sarjanawiyata Tamansiswa http://orcid.org/0000-0002-9958-9825
  • Trisna Yulianti Department of Industrial Engineering Universitas Sarjanawiyata Tamansiswa
  • Fransiska Hernina Puspitasari Department of Industrial Engineering, Universitas Atma Jaya Yogyakarta

DOI:

https://doi.org/10.31315/opsi.v14i1.4478

Keywords:

public transportation, MCDM, Fuzzy AHP, DEMATEL

Abstract

An advanced public transportation system becomes an indicator for a country. Accordingly, it is essential that the decision-makers (DMs) conduct an initial study based on passengers’ view in order to improve the public transportation services. Since involving multi factors, the problem is often solved using the multi-criteria decision-making (MCDM) approaches. This study aims to examine significant factors on passengers decision making to use public transportation using Fuzzy AHP and DEMATEL. The Fuzzy AHP method is proposed to determine criteria weights so that significant critera are obtained, then the causal relations including the criteria are visualized using DEMATEL. This study demonstrates the integration of the two MCDM methods in a BRT system in the region of Yogyakarta, Indonesia, and invites passengers and the DMs. The result indicated that 21 criteria are identified, while the 11 significant criteria are selected based on the Fuzzy AHP weight – α-cut screening. Besides, the DEMATEL has succeeded in describing the influence relationship for the criteria, where firstly, the significant criteria are classified into cause and effect group and secondly, the two criteria, namely coverage to strategic points and on time arrival, should be put on the top priority list. This study enables the DMs to solve public transportation problems more effectively. However, the follow-up study should be carried out by including other factors such as economic and sustainability to strengthen the decision-making process.

References

Aminah, S. (2018). Transportasi Publik dan Aksesibilitas Masyarakat Perkotaan. Jurnal Teknik Sipil UBL, 9(1), 1142–1155.

Azali, I., Gunanto, E. Y. A., & SBM, N. (2018). Preferensi Konsumen Terhadap Transportasi Publik (Studi Kasus Bus Rapid Transit (BRT) Kota Semarang). Media Ekonomi Dan Manajemen, 33(1). https://doi.org/10.24856/mem.v33i1.617

Bakır, M., Akan, Ş., & Durmaz, E. (2019). Exploring Service Quality of Low-Cost Airlines in Europe: an Integrated MCDM Approach. Economics and Business Review, 5(2), 109–130. https://doi.org/10.18559/ebr.2019.2.6

Chen, I. S. (2016). A combined MCDM model based on DEMATEL and ANP for the selection of airline service quality improvement criteria: A study based on the Taiwanese airline industry. Journal of Air Transport Management, 57, 7–18. https://doi.org/10.1016/j.jairtraman.2016.07.004

Chou, Y. C., Yen, H. Y., Dang, V. T., & Sun, C. C. (2019). Assessing the human resource in science and technology for Asian countries: Application of fuzzy AHP and fuzzy TOPSIS. Symmetry, 11(2). https://doi.org/10.3390/sym11020251

Duleba, S., & Moslem, S. (2018). Sustainable urban transport development with stakeholder participation, an AHP-Kendall model: A case study for Mersin. Sustainability (Switzerland), 10(10). https://doi.org/10.3390/su10103647

Kab. Kampar, D. (2019). 8 Keuntungan Saat Naik Transportasi Umum, Apa Saja? Retrieved from https://dishub.kamparkab.go.id/2019/04/22/8-keuntungan-saat-naik-transportasi-umum-apa-saja/

Kiani Mavi, R., Zarbakhshnia, N., & Khazraei, A. (2018). Bus rapid transit (BRT): A simulation and multi criteria decision making (MCDM) approach. Transport Policy, 72(March), 187–197. https://doi.org/10.1016/j.tranpol.2018.03.010

Kurniawan, A. D. (2017). Penerapan Metode Analytical Hierarchy Process (AHP) dan Quality Function Deployment (QFD) untuk Menentukan Preferensi Bus Transjogja. Universitas Sarjanawiyata Tamansiswa.

Li, X. H., Huang, L., Li, Q., & Liu, H. C. (2020). Passenger satisfaction evaluation of public transportation using pythagorean fuzzy MULTIMOORA method under large group environment. Sustainability (Switzerland), 12(12). https://doi.org/10.3390/su12124996

Lova, C. (2019). BPTJ: Penggunaan Transportasi Umum Baru 30 Persen di Jabodetabek. Retrieved from https://megapolitan.kompas.com/read/2019/11/14/14224231/bptj-penggunaan-transportasi-umum-baru-30-persen-di-jabodetabek

Mardani, A., Zavadskas, E. K., Khalifah, Z., Jusoh, A., & Nor, K. M. D. (2016). Multiple criteria decision-making techniques in transportation systems: a systematic review of the state of the art literature. Transport, 31(3), 359–385. https://doi.org/10.3846/16484142.2015.1121517

Moslem, S., Alkharabsheh, A., Ismael, K., & Duleba, S. (2020). An integrated decision support model for evaluating public transport quality. Applied Sciences (Switzerland), 10(12), 1–19. https://doi.org/10.3390/APP10124158

Nassereddine, M., & Eskandari, H. (2017). An integrated MCDM approach to evaluate public transportation systems in Tehran. Transportation Research Part A: Policy and Practice, 106(October), 427–439. https://doi.org/10.1016/j.tra.2017.10.013

Octaviantari, R. N. (2016). Importance Performance Analysis Bus Trans Jogja. (October), 11–13.

Perhubungan, K. (2019). Informasi Transportasi 2018.

Shieh, J. I., Wu, H. H., & Huang, K. K. (2010). A DEMATEL method in identifying key success factors of hospital service quality. Knowledge-Based Systems, 23(3), 277–282. https://doi.org/10.1016/j.knosys.2010.01.013

Sutari, I., & Herlina, S. (2020). Analisis Pengaruh Kualitas Layanan terhadap Kepuasan Pelanggan Menggunakan Jasa Transportasi Trans Jogja di Kota Yogyakarta. Equilibrium Jurnal Bisnis & Akuntansi, XIV(1), 68–82.

Transistari, R. (2017). Transistari: The Use of Importance Performance Analysis to Evaluate…. XXII(01), 95–108.

Wibowo, A. (2014). Pengaruh Kualitas Pelayanan Transportasi Umumbus Trans Jogja Terhadap Kepuasan Konsumen. Jurnal Ilmu Manajemen, 11(2), 67–81. https://doi.org/10.21831/jim.v11i2.11765

Yang, J. J., Chuang, Y. C., Lo, H. W., & Lee, T. I. (2020). A two-stage MCDM model for exploring the influential relationships of sustainable sports tourism criteria in Taichung City. International Journal of Environmental Research and Public Health, 17(7). https://doi.org/10.3390/ijerph17072319

Yazdani, M., Torkayesh, A. E., & Chatterjee, P. (2020). An integrated decision-making model for supplier evaluation in public healthcare system: the case study of a Spanish hospital. Journal of Enterprise Information Management. https://doi.org/10.1108/JEIM-09-2019-0294

Zapolskytė, S., Burinskienė, M., & Trépanier, M. (2020). Evaluation criteria of smart city mobility system using MCDM method. Baltic Journal of Road and Bridge Engineering, 15(4), 196–224. https://doi.org/10.7250/bjrbe.2020-15.501

Downloads

Published

2021-06-24

Issue

Vol. 14 No. 1 (2021): ISSN 1693-2102

Section

Artikel

License

Authors who publish articles in this journal agree to the following conditions:

  1. Copyright remains with the author and gives the Opsi journal the right as a priority to publish its articles with Creative Commons Attribution 4.0 International license. Which allows articles to be shared with acknowledgement of the author of the article and this journal as the place of publication.
  2. Authors can distribute their articles on a non-exclusive basis (e.g. in university repositories or books) with notification or acknowledgement of publication in Opsi journals.
  3. Authors are allowed to post their work online (e.g. on a personal website or in a university repository) before and after the submission process (see The Effect of Open Access)
 

Lisensi Creative Commons

This work is Licensed Under a Creative Commons Attribution 4.0 International license.